Purpose: Sodium is essentially required for homeostasis and physiological functions, but excessive sodium consumption increases the risk of obesity and other chronic disorders.Korean studies on the sodium-obesity relationship are limited, and thus, this study was undertaken to determine the nature of the relationship between sodium intake and obesity in Korean adults. Methods: Forty-two participants were divided into 2 groups according to body mass index (BMI, non-obese BMI < 25 kg/m2 , obese BMI ≥ 25 kg/m2 ). Dietary intakes and eating habits were analyzed using 3-day food records and a food frequency questionnaire. Anthropometric data were obtained from bioimpedance results, and fasting glucose and lipid levels were measured. Results: Mean weight, BMI, waist and hip circumferences, and body fat mass were greater in the obese group than in the non-obese group for men and women. Skeletal muscle mass and body fat mass were higher in obese women than in non-obese women. Biochemical data were no different in these two subgroups except triglycerides (TGs), which were higher in obese women. Nutrient intakes were not significantly different in obese and non-obese groups.However, obese men consumed excessive sodium, while obese women consumed slightly more than non-obese women. Obese men preferred salty foods and tended to overeat.Positive correlations were found between sodium intake and weight in men and percent body fat mass (PBFM) in women. Correlation analysis (adjusted for energy intake) of the relation between sodium intake and obesity-related factors showed sodium intake was positively correlated with PBFM and TG in women. Conclusion This anthropometric and biochemical data analysis emphasizes the need for awareness and interventions to mitigate the health risks of elevated sodium consumption.Our findings should aid future studies on the relationship between sodium and obesity and contribute to preventing and managing this metabolic condition.

Purpose: Korean patients with type 2 diabetes mellitus (T2DM) and obesity are at a high risk of developing severe non-alcoholic fatty liver disease (NAFLD). This study examined the dietary intakes and compared the risks of NAFLD-related complications in Korean patients with T2DM and obesity. Methods: Data from the Korean National Diabetes Program cohort were used to study patients with T2DM. Two hundred and sixty-five obese patients with T2DM (body mass index ≥ 25 kg/m2 ) were classified into NAFLD and non-NAFLD groups. The nutrient intake was analyzed using a 24-hour dietary recall questionnaire. Anthropometric and biochemical data were also obtained. Statistical analyses were performed to determine the significant differences between the 2 groups. Results: The serum gamma-glutamyl transpeptidase levels in obese patients with T2DM and NAFLD were significantly higher than in obese T2DM patients without NAFLD (p < 0.05). The serum glucose and lipid profiles showed no significant differences between the NAFLD and non-NAFLD groups. The carbohydrate, protein, and fat levels also did not differ significantly. The results showed that the fiber intake of the NAFLD and non-NAFLD groups was 14.11 ± 3.86 g/100 kcal and 15.70 ± 4.56 g/1,000 kcal, respectively, showing that the dietary fiber intake of the non-NAFLD group was significantly higher (p < 0.05). A correlation was observed between total fiber intake and γ-glutamyl transpeptidase in either patient group. In addition, the odds ratio of developing NAFLD was 0.29× lower when the fiber was consumed at 125% of adequate intake. Conclusions A higher dietary fiber intake may reduce the risk of NAFLD in obese patients with T2DM. The dietary intake of Korean obese patients with T2DM should include and be enriched in dietary fiber to aid in preventing and treating NAFLD.

Objectives: Metabolic disease is strongly associated with future insulin resistance, and its prevalence is increasing worldwide. Thus, identifying early biomarkers of metabolic-related disease based on serum profiling is useful to control future metabolic disease. Our study aimed to assess the association of serum branched chain amino acids (BCAAs) and aromatic amino acids (AAAs) ratio and metabolic disease according to body mass index (BMI) status among Korean adults. Methods: This cross-sectional study included 78 adults aged 20–59 years in Korea. We compared serum amino acid (AA) levels between adults with normal-weight and adults with obesity and investigated biomarkers of metabolic disease. We examined serum AA levels, blood profile, and body composition. We also evaluated the association between serum AAs and metabolic-related disease. Results: The height, weight, BMI, waist circumference, hip circumference, waist-hip-ratio, body fat mass, body fat percent, skeletal muscle mass, systolic blood pressure, and diastolic blood pressure were higher in the group with obesity compared to normal weight group. The group with obesity showed significantly higher levels of BCAA, AAA, and BCAA and AAA ratio. Further, BCAA and AAA ratio were significantly positively correlated with triglyceride, body weight, and skeletal muscle mass. The evaluation of metabolic disease risks revealed an association between the ratios of BCAAs and AAAs, hypertension, and metabolic syndrome. Conclusions Our study is showed the associations between BCAA and AAA ratio, obesity, and obesity-related diseases using various analytical approaches. The elevated BCAA and AAA ratio could be early biomarkers for predicting future metabolic diseases in Korean population.

BACKGROUND/OBJECTIVES: Estimation of energy demand using resting energy expenditure (REE) is a reasonable approach for optimizing glycemic control and weight management in patients with type 2 diabetes mellitus (T2DM). This study aimed to compare REE predictions and objective measurements in patients with T2DM in Korea. SUBJECTS/METHODS: This study enrolled 36 participants with T2DM (age range, 20–60 years).Anthropometric variables including height, weight, waist-hip ratio, blood pressure, body fat, body fat percentage, and total body weight were measured using bioimpedance. REE was evaluated using indirect calorimetry. The measured REE values were compared to values estimated using five predictive equations: the Harris-Benedict, Mifflin, Owen, Food and Agriculture Organization of the United Nations/World Health Organization (FAO/WHO), and Schofield equations. This study evaluated the associations between measured REE values and anthropometric/clinical data, including height, weight, and age, using multivariate linear regression. RESULTS: The mean measured REE value was 1891.79 ± 288.03 kcal/day (male), 1,502.00 ± 202.96 kcal/day (female). REE estimates generated from the Mifflin equation showed the largest differences from measured REE values, whereas estimates derived from the FAO/ WHO equation were the closest to the measured REE values. This study also identified associations between measured REE values and various anthropometric/clinical variables. CONCLUSION The accuracy of REE prediction equations is critically important in promoting the efficacy of dietary counseling and the effective treatment of diabetes. Our results indicate the need for additional studies informing more suitable methods for determining the energy requirements of Korean patients with T2DM.

Purpose: In this study, we assessed the intake of nutrients and food groups and analyzed the nutrition quotient of obese children in South Korea. The hypothesis was that dietary quality and nutrient intake are related to the body mass index (BMI) of obese children. Methods: The participants included 48 children (20 boys and 28 girls). Based on the guidelines for the age-for-body mass index provided by the Korean National Growth Charts for children and adolescents, the participants were divided into 3 groups: overweight, BMI ≥ 85th percentile; obese, BMI ≥ 95th percentile; severely obese, BMI ≥ 99th percentile. Results: The energy distribution showed that the carbohydrate ratio was significantly higher in the overweight group (p < 0.01), whereas the fat ratio was significantly higher in the obese and severely obese groups (p < 0.05). Thus, in the overweight and obese groups, the percent body fat was negatively associated with the carbohydrate ratio (p < 0.05) but was positively associated with the fat ratio (p < 0.05). The Dietary Reference Intakes (DRI) data revealed that the intake levels of protein, vitamin B 1 , vitamin B 12 , and sodium were higher in all groups. Intakes of fiber, calcium, potassium, and magnesium were insufficient in all groups, and the DRI percent for protein was significantly higher in the obese and severely obese groups than in the overweight group. No significant differences were obtained in food group patterns or Nutrition Quotient (NQ) scores among the 3 groups. According to the evaluation results by food record and NQ, a significant difference was obtained in the dietary quality of obese children. Conclusion We conclude that a higher intake of fat enhances weight gain. Based on the study results, we propose that the guidelines should consider the energy distribution of carbohydrate and fat intake to prevent and control obesity among Korean children.

Purpose: This study examined the relationships among serum ferritin, vitamin D, folate, iron, and vitamin B12 as indicators of obesity. The results provide the basic data for the prevention and treatment of obese and severely obese people. Methods: This study selected 44 people from 18 years of age or older to 59 years. This study used the indicators of the body mass index (BMI) to analyze obesity as the obesity group (BMI of 25.0–29.9 kg/m2 ) and as the severe obesity group (BMI ≥ 30.0 kg/m2 ). Of the 44 subjects, 23 and 21 subjects were in the obesity and severe obesity groups, respectively. Their height, weight, body fat, skeletal muscle mass measured using bioimpedance analysis, and measured serum nutrients and biochemical parameters. Results: The obesity group showed a significantly lower age, body weight, BMI and body composition, body fat mass, and body fat percentage, and the height was significantly lower in the severe obesity group. The results of the biochemical parameters of the subjects showed that the levels of aspartate transaminase, alanine transaminase, hemoglobin A1c, total cholesterol, and triglyceride were within the normal range, and there was no significant difference between the 2 groups. The levels of folate, vitamin B12 , 25-hydroxyvitamin D3 , iron, and ferritin were almost normal, and there was no significant difference between the 2 groups. Conclusion This study revealed an association with the serum nutrients and obesity, but there was no difference between the obesity group and severe obesity group. Observations of the nutrient levels in not only the blood in obesity and severe obesity but also in red blood cells and tissues will be necessary.

BACKGROUND: Malnutrition is associated with many adverse clinical outcomes. The present study aimed to identify the prevalence of malnutrition in hospitalized patients in Korea, evaluate the association between malnutrition and clinical outcomes, and ascertain the risk factors of malnutrition. METHODS: A multicenter cross-sectional study was performed with 300 patients recruited from among the patients admitted in 25 hospitals on January 6, 2014. Nutritional status was assessed by using the Subjective Global Assessment (SGA). Demographic characteristics and underlying diseases were compared according to nutritional status. Logistic regression analysis was performed to identify the risk factors of malnutrition. Clinical outcomes such as rate of admission in intensive care units, length of hospital stay, and survival rate were evaluated. RESULTS: The prevalence of malnutrition in the hospitalized patients was 22.0%. Old age (≥ 70 years), admission for medical treatment or diagnostic work-up, and underlying pulmonary or oncological disease were associated with malnutrition. Old age and admission for medical treatment or diagnostic work-up were identified to be risk factors of malnutrition in the multivariate analysis. Patients with malnutrition had longer hospital stay (SGA A = 7.63 ± 6.03 days, B = 9.02 ± 9.96 days, and C = 12.18 ± 7.24 days, P = 0.018) and lower 90-day survival rate (SGA A = 97.9%, B = 90.7%, and C = 58.3%, P < 0.001). CONCLUSION: Malnutrition was common in hospitalized patients, and resulted in longer hospitalization and associated lower survival rate. The rate of malnutrition tended to be higher when the patient was older than 70 years old or hospitalized for medical treatment or diagnostic work-up compared to elective surgery.
Cross-Sectional Studies ; Hospitalization ; Humans ; Intensive Care Units ; Korea ; Length of Stay ; Logistic Models ; Malnutrition ; Multivariate Analysis ; Nutrition Assessment ; Nutritional Status ; Prevalence ; Risk Factors ; Survival Rate

OBJECTIVES: The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea. METHODS: The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI. RESULTS: Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = 721 − (1.5 × age) + (0.4 × height) + (9.9 × weight). CONCLUSIONS: These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.
Absorptiometry, Photon ; Adipose Tissue ; Adult ; Blood Pressure ; Body Composition ; Body Mass Index ; Calorimetry, Indirect ; Energy Metabolism ; Female ; Humans ; Korea ; Overweight ; Research Personnel ; Waist-Hip Ratio

OBJECTIVES: The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea. METHODS: The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI. RESULTS: Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = 721 − (1.5 × age) + (0.4 × height) + (9.9 × weight). CONCLUSIONS: These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.
Absorptiometry, Photon ; Adipose Tissue ; Adult ; Blood Pressure ; Body Composition ; Body Mass Index ; Calorimetry, Indirect ; Energy Metabolism ; Female ; Humans ; Korea ; Overweight ; Research Personnel ; Waist-Hip Ratio